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Paper Abstract and Keywords
Presentation 2022-07-15 11:30
Development and Evaluation of Automated Design System of Automotive Ethernet by Linkage of Machine Learning and Meta-heuristics
Yasuhiro Mori, Hiroshi Yamamoto (Ritsumeikan Univ.), Yojiro Suyama, Tatsuya Izumi (Sumitomo Electric Industries), Hirofumi Urayama (AutoNetwork Technology Research Institute), Shiho Kobayashi, Shigeki Umehara, Hideaki Tani (Sumitomo Electric System Solutions) NS2022-54
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, Ethernet tends to be adopted as an in-vehicle network that the various computers (ECUs) are interconnected. However, there is concern that the packets concentrate on certain switches, which become bottlenecks causing packet losses and lack of real-time property of the important data. Therefore, in this study, we propose a method to automatically derive appropriate QoS control settings to avoid the occurrence of the bottlenecks based on the network configuration and the characteristics of the network traffic. For the proposed method, a machine learning model is built to estimate the presence and degree of bottlenecks by learning the results of simulations carried out in advance on various network topologies, types of traffic and QoS control settings. Furthermore, by utilizing a meta-heuristic technique, an automated design system of automotive Ethernet is realized to automatically derive the appropriate QoS control settings for avoiding the bottleneck.
Keyword (in Japanese) (See Japanese page) 
(in English) IoT / In-vehicle Ethernet / QoS controll / Machine Learning / Meta-heuristic / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 105, NS2022-54, pp. 131-136, July 2022.
Paper # NS2022-54 
Date of Issue 2022-07-06 (NS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee NS SR RCS SeMI RCC  
Conference Date 2022-07-13 - 2022-07-15 
Place (in Japanese) (See Japanese page) 
Place (in English) The Kanazawa Theatre + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Distributed Wireless Network, M2M (Machine-to-Machine),D2D (Device-to-Device),IoT(Internet of Things), etc 
Paper Information
Registration To NS 
Conference Code 2022-07-NS-SR-RCS-SeMI-RCC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development and Evaluation of Automated Design System of Automotive Ethernet by Linkage of Machine Learning and Meta-heuristics 
Sub Title (in English)  
Keyword(1) IoT  
Keyword(2) In-vehicle Ethernet  
Keyword(3) QoS controll  
Keyword(4) Machine Learning  
Keyword(5) Meta-heuristic  
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1st Author's Name Yasuhiro Mori  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
2nd Author's Name Hiroshi Yamamoto  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
3rd Author's Name Yojiro Suyama  
3rd Author's Affiliation Sumitomo Electric Industries, Ltd. (Sumitomo Electric Industries)
4th Author's Name Tatsuya Izumi  
4th Author's Affiliation Sumitomo Electric Industries, Ltd. (Sumitomo Electric Industries)
5th Author's Name Hirofumi Urayama  
5th Author's Affiliation AutoNetwork Technology Research Institute Ltd. (AutoNetwork Technology Research Institute)
6th Author's Name Shiho Kobayashi  
6th Author's Affiliation Sumitomo Electric System Solutions Ltd. (Sumitomo Electric System Solutions)
7th Author's Name Shigeki Umehara  
7th Author's Affiliation Sumitomo Electric System Solutions Ltd. (Sumitomo Electric System Solutions)
8th Author's Name Hideaki Tani  
8th Author's Affiliation Sumitomo Electric System Solutions Ltd. (Sumitomo Electric System Solutions)
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Speaker
Date Time 2022-07-15 11:30:00 
Presentation Time 25 
Registration for NS 
Paper # NS2022-54 
Volume (vol) 122 
Number (no) no.105 
Page pp.131-136 
#Pages
Date of Issue 2022-07-06 (NS) 


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